Vehicle oil stealing early warning method and system

Abstract

The invention is suitable for the technical field of equipment monitoring, and particularly relates to a vehicle oil stealing early warning method and system, and the method comprises the steps: installing a camera on a vehicle, carrying out the image collection through the camera, and obtaining a real-time monitoring image; recognizing the real-time monitoring image through a built-in detection algorithm, and judging whether an abnormal condition exists in a preset frame selection area or not; when an abnormal condition is detected, an alarm mechanism is started; and during the flameout and parking period of the vehicle, the camera enters a time-lapse video recording mode, and when an abnormal condition is detected, normal image acquisition is started, and an alarm mechanism is started. According to the system, the monitoring accuracy is improved, the operation process is simplified through a visual user interface, the safety of vehicle fuel oil is ensured, the risk of fuel oil theft is effectively reduced, and in addition, due to the fact that only the camera is installed outside the vehicle, compared with an existing solution in the market, the later maintenance cost of the system is more economical.

Description

Technical Field

[0001] The invention belongs to the technical field of equipment monitoring, and in particular relates to a vehicle oil theft early warning method and system. Background Art

[0002] With the development of the logistics industry, the problem of vehicle fuel theft has become increasingly serious, causing huge economic losses to enterprises. In order to effectively prevent and reduce fuel theft incidents, the existing fuel theft warning methods and systems are constantly developing and improving to improve transportation safety and reduce economic losses.

[0003] The current anti-oil theft technologies on the market mainly include mechanical anti-theft devices, electronic locking systems and ultrasonic monitoring systems: Mechanical anti-theft device: This type of device prevents fuel theft by locking the fuel tank or using anti-theft bolts, but there is a risk of being cracked.

[0004] Electronic Locking Device: Provides a higher level of anti-theft protection by linking with the vehicle's engine control system's electronic lock.

[0005] Ultrasonic monitoring system: In addition to monitoring the oil level, its core advantage lies in the anti-oil theft function. When the sensor detects a sharp drop in oil level, the system will immediately sound an alarm and transmit relevant data to the management platform in real time.

[0006] However, these technologies often rely too much on external hardware facilities, resulting in high subsequent maintenance costs. Summary of the invention

[0007] The purpose of the present invention is to provide a vehicle oil theft warning method, aiming to solve the problem that the prior art overly relies on external hardware facilities and has high subsequent maintenance costs.

[0008] The present invention is implemented as follows: a vehicle oil theft early warning method, the method comprising: Install a camera on the vehicle, collect images through the camera, and obtain real-time monitoring images; The built-in detection algorithm is used to identify the real-time monitoring image and determine whether there are any abnormal conditions in the preset framed area; When an abnormal situation is detected, the alarm mechanism is activated; When the vehicle is turned off and parked, the camera enters the time-lapse recording mode. When an abnormal situation is detected, it enters normal image acquisition and activates the alarm mechanism.

[0009] Preferably, in the step of identifying the real-time monitoring image by using a built-in detection algorithm to determine whether there is an abnormal situation in a preset framed area, the framed area in the real-time monitoring image is freely selected by the user.

[0010] Preferably, in the step of acquiring images through a camera, the camera is aimed at the fuel tank to acquire images, and the number of the camera is at least one.

[0011] Preferably, when the alarm mechanism is activated, the driver is immediately notified and the sound and light alarm device is activated.

[0012] Preferably, after the alarm mechanism is activated, the target in the selected area is continuously tracked until the target leaves the selected area.

[0013] Preferably, in the step of identifying the real-time monitoring image through the built-in detection algorithm to determine whether there is an abnormal situation in the preset frame selection area, the detection algorithm adopts the YOLO detection algorithm, predicts the target bounding box and category through a single neural network, uses the entire image as the input of the grid, and regresses the position and category of the bounding box in the output layer. Each bounding box must predict the position and confidence, and each grid must also predict a category information, recorded as category C.

[0014] Preferably, the confidence calculation formula is: Among them, IOU is the intersection-union ratio, which is used to reflect the similarity between two boxes. The intersection-over-union ratio of the predicted bounding box and the true object location, is the probability that there is an object in the grid.

[0015] Preferably, for the real-time monitoring image, it is divided into SxS grids; for each grid, B bounding boxes are predicted, S×S×B target windows are predicted, target windows with a probability lower than a preset value are removed, redundant windows are removed, and a multidimensional array is output to represent the image data, feature maps, and the final detection output.

[0016] Another object of the present invention is to provide a vehicle oil theft warning system, which includes a camera, a touch display screen and an audible and visual alarm, the audible and visual alarm and the camera are installed on the vehicle to be monitored, and the touch display screen is electrically connected to the camera and the audible and visual alarm.

[0017] Preferably, the number of the cameras is at least one, and the touch display screen has a built-in AI mainboard. When the vehicle is turned off and the ACC power is cut off, the touch display screen automatically enters the screen-off state, the camera enters the time-lapse recording mode, and the AI ​​mainboard continues to run to monitor the calibration area. Once an abnormal state is detected, the touch display screen is automatically lit, and a warning broadcast is issued through the sound and light alarm.

[0018] The vehicle oil theft warning method provided by the present invention integrates visual and auditory technologies, significantly enhancing vehicle fuel safety. Through a high-definition screen, the driver can monitor the fuel tank status and its surrounding environment in real time, and record key information through the video recording function. Once an abnormality is detected, the system will immediately issue a warning through a horn or an audible and visual alarm to ensure that the driver responds in time. The present invention not only improves the accuracy of monitoring, but also simplifies the operation process through an intuitive user interface, thereby ensuring the safety of vehicle fuel and effectively reducing the risk of fuel theft. In addition, since only cameras are installed on the outside of the vehicle, its subsequent maintenance cost is more economical compared to existing solutions on the market. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A structural diagram of a vehicle oil theft warning device provided by an embodiment of the present invention; Figure 2 An alarm flow chart when a vehicle is started provided by an embodiment of the present invention; Figure 3 This is a flowchart of an alarm when a vehicle is turned off provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0021] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script.

[0022] like Figure 2 and Figure 3 As shown, a vehicle oil theft warning method provided by an embodiment of the present invention comprises: Install a camera on the vehicle, collect images through the camera, and obtain real-time monitoring images; The built-in detection algorithm is used to identify the real-time monitoring image and determine whether there are any abnormal conditions in the preset framed area; When an abnormal situation is detected, the alarm mechanism is activated; When the vehicle is turned off and parked, the camera enters the time-lapse recording mode. When an abnormal situation is detected, it enters normal image acquisition and activates the alarm mechanism.

[0023] In this embodiment, a control panel with integrated AI algorithm is used, combined with high-definition camera and display technology, to provide comprehensive anti-oil theft protection for the vehicle.

[0024] The system uses a camera to capture the dynamics around the fuel tank in real time, and uses the precise calibration function on the screen to define the monitoring area near the fuel tank. Combined with advanced AI algorithms, the system can intelligently identify and analyze abnormal behaviors around the fuel tank, and combine with sound and light alarms to achieve efficient early warning and prevention of oil theft.

[0025] The AI ​​algorithm uses the YOLO (You Only Look Once) detection algorithm. The system predicts the target bounding box and category through a single neural network. The entire image is used as the input of the grid, and the position and category of the bounding box are directly regressed in the output layer. Each bounding box is predicted There are 5 values ​​in total, including: is the position parameter of the bounding box, is the size parameter of the bounding box, and each grid also needs to predict a category information, recorded as category C. The confidence calculation formula is as follows: IOU (intersection over union) is the intersection over union ratio, which reflects the similarity between two frames; It means the intersection of the predicted bounding box and the actual object position; is the probability that a grid has an object.

[0026] For the image passed in, first divide the image into SxS grids; for each grid, predict B bounding boxes (including the confidence level of each bounding box being the target and the probability of each bounding box area in multiple categories); according to the previous step, S×S×B target windows can be predicted, and then the target windows with lower probability are removed, and finally the Non-maximal suppression (NMS) technology is used to remove redundant windows. The final output is a tensor (multidimensional array) of S×S×(5×B+C). Tensors (multidimensional arrays) are used to represent image data, feature maps, and the final detection output.

[0027] like Figure 1 As shown, the present invention also provides a vehicle oil theft warning system, which includes a camera, a touch display screen and an audible and visual alarm. The audible and visual alarm and the camera are installed on the vehicle to be monitored, and the touch display screen is electrically connected to the camera and the audible and visual alarm.

[0028] In this embodiment, reference Figure 2 and Figure 3, users can flexibly adjust the calibration frame of the fuel theft warning through the screen touch function to adapt to different monitoring environments; point the camera in the direction of the fuel tank, and display the camera captured image on the screen in real time to ensure that there is no blind spot in the monitoring; using advanced AI algorithms (YOLO detection algorithm), the system can intelligently determine whether there are people or vehicles staying abnormally in the current framed area to improve the accuracy of the warning; once the AI ​​algorithm detects an abnormal situation, the system will immediately activate the alarm mechanism to remind the driver to pay attention to potential safety threats; when the vehicle is turned off and parked (even in normal power state), the screen will automatically turn off and switch to energy-saving time-lapse recording mode, while continuously monitoring the dynamics around the fuel tank. Once an abnormality occurs in the calibration frame, the system will not only automatically light up the screen, but also send out a warning signal to ensure that the driver can take timely countermeasures.

[0029] The vehicle oil theft warning system provided by the present invention has the following specific working process: After starting the motherboard program, users can easily access the AI ​​algorithm function interface through the touch screen. In this interface, users can select the corresponding camera and enter the editing mode to adjust the selection range of the calibration frame according to personal needs to meet specific monitoring needs.

[0030] The core logic of the AI ​​algorithm (YOLO detection algorithm) is to analyze the images transmitted by the camera in real time. When a person or vehicle appears in the picture, the algorithm will automatically identify it and select it. The selection will continue to track the target until the target leaves the monitoring range of the camera. If the selected target intersects or completely contains the preset calibration frame, the system will determine that the area is abnormal.

[0031] like Figure 2 As shown, users can intuitively see the monitoring area of ​​the calibration frame through the screen. When an abnormal situation occurs in the calibration frame, the alarm will immediately sound an alarm to remind the driver of potential safety risks in time.

[0032] like Figure 3 As shown in the figure, when the vehicle is turned off and the ACC power is cut off, the screen will automatically go into off state, and the video recording function will switch to time-lapse recording mode to save power. In this state, the AI ​​algorithm continues to run and monitor the calibration area. Once an abnormal state is detected, the system will automatically light up the screen and issue a warning broadcast. In addition, considering the differences in the position of the fuel tank of different models, this design allows users to select the left or right monitoring angle in the software to further enhance the user experience.

[0033] like Figure 1 As shown, the vehicle oil theft warning system provided by the present invention includes a touch display screen (including an AI mainboard), an audible and visual alarm (or a speaker) and a camera.

[0034] The mainboard connects to the camera to obtain the image and displays it on the display screen. The AI ​​algorithm uses the scene in the picture to determine whether there is a person or vehicle entering the picture. If there is, it will be calibrated and detected in real time, and the frame position of the target will be calculated and compared with the preset calibration frame position to make a judgment.

[0035] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0036] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A vehicle oil theft early warning method, characterized in that: The method comprises: Install a camera on the vehicle, collect images through the camera, and obtain real-time monitoring images; The built-in detection algorithm is used to identify the real-time monitoring image and determine whether there are any abnormal conditions in the preset framed area; When an abnormal situation is detected, the alarm mechanism is activated; When the vehicle is turned off and parked, the camera enters the time-lapse recording mode. When an abnormal situation is detected, it enters normal image acquisition and activates the alarm mechanism.

2. The vehicle oil theft warning method according to claim 1, characterized in that: In the step of identifying the real-time monitoring image by using the built-in detection algorithm to determine whether there is an abnormal situation in the preset framed area, the framed area in the real-time monitoring image is freely selected by the user.

3. The vehicle oil theft warning method according to claim 1, characterized in that: In the step of acquiring images through a camera, the camera is aimed at the fuel tank to acquire images, and the number of the camera is at least one.

4. The vehicle oil theft early warning method according to claim 1, characterized in that: When the alarm mechanism is activated, the driver is notified immediately and the sound and light alarm devices are activated.

5. The vehicle oil theft early warning method according to claim 1, characterized in that: After the alarm mechanism is activated, the target in the selected area is continuously tracked until the target leaves the selected area.

6. The vehicle oil theft early warning method according to claim 1, characterized in that: The built-in detection algorithm is used to identify the real-time monitoring image and determine whether there is an abnormality in the preset frame selection area. The detection algorithm uses the YOLO detection algorithm, which predicts the target bounding box and category through a single neural network, uses the entire image as the input of the grid, and regresses the position and category of the bounding box in the output layer. Each bounding box must predict the position and confidence, and each grid must also predict a category information, recorded as category C.

7. The vehicle oil theft warning method according to claim 6, characterized in that: The confidence calculation formula is: Among them, IOU is the intersection-union ratio, which is used to reflect the similarity between two boxes. The intersection-over-union ratio of the predicted bounding box and the true object location, is the probability that there is an object in the grid.

8. The vehicle oil theft warning method according to claim 6, characterized in that: For real-time surveillance images, they are divided into SxS grids; for each grid, B bounding boxes are predicted, S×S×B target windows are predicted, target windows with a probability lower than a preset value are removed, redundant windows are removed, and a multidimensional array is output to represent image data, feature maps, and the final detection output.

9. A vehicle oil theft warning system, characterized in that: The system comprises a camera, a touch display screen and an audible and visual alarm, wherein the audible and visual alarm and the camera are installed on the vehicle to be monitored, and the touch display screen is electrically connected to the camera and the audible and visual alarm.

10. The vehicle oil theft warning system according to claim 9, characterized in that: The number of cameras is at least one, and the touch display screen has a built-in AI mainboard. When the vehicle is turned off and the ACC power is cut off, the touch display screen automatically enters the screen-off state, the camera enters the time-lapse recording mode, and the AI ​​mainboard continues to run to monitor the calibration area. Once an abnormal state is detected, the touch display screen is automatically lit, and an early warning broadcast is issued through the sound and light alarm.

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